Papers with Fourier Transformation

1 papers
Transformation of Dense and Sparse Text Representations (2020.coling-main)

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Challenge: Existing approaches to NLP to leverage sparsity have been limited due to the gap with dense representations.
Approach: They propose a Semantic Transformation method to bridge dense and sparse spaces and propose supervised NLP tasks to use both spaces.
Outcome: Experiments with classification tasks and natural language inference tasks show that the proposed method is effective.

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